The widespread use of distributed embedded systems to monitor and control large-scale industrial facilities (e.g., power plants, and electrical power grids), and the growing development of Internet of Things (IoT) have led to Industrial IoT (IIoT). In a typical IIoT, distributed embedded systems, composed of processors, sensors and actuators which are connected through embedded network protocols, are connected to the internet for remote management. However, embedded networks and therefore industrial facilities are very vulnerable to cyber-attacks. In this paper TTMAC-CAN, a novel scheduling algorithm is proposed which utilizes a multi-objective evolutionary algorithm to improve security, reliability, and performance of Time Triggered Controller Area Network (TTCAN) protocol. The proposed technique in comparison with TOUCAN reduces the risk of guessing the tag by about 86% and improve receiving cycle time by 98%.

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